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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 2-RES-JB
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    Explanations

    names containing the specific sequence "ram", possibly within a legal or media context

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "Ram."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dangerous
    -0.68
     accord
    -0.67
     Yankee
    -0.66
     mention
    -0.64
     deed
    -0.64
     proximity
    -0.62
     compar
    -0.60
     Carib
    -0.60
     labeling
    -0.60
     poss
    -0.60
    POSITIVE LOGITS
    irez
    1.13
    ming
    1.10
    ram
    1.07
    atic
    1.06
    pton
    1.03
    matical
    0.95
    med
    0.95
    mers
    0.94
    aganda
    0.93
    mus
    0.93
    Activations Density 0.008%

    No Known Activations